The entity-relationship(E-R) data model is based on a perception of a real world that consists of a collection of basic objects, called entities, and of relationships among these objects.
实质-联系 （电子半径） 数据模型以有一个基本物件的集合物件，叫做了实质的真正世界的一个知觉为基础， 和在这些物件之中的联系。
This paper analyzes the visual graphic elements, and then set up the mapping between visual variables and data attributes and created the user perception model based on visual elements.
本文分析了可视化图形因素，建立了可视化变量与数据属性之间的映射关系，并提出基于可视化因素的用户感知模型。
Results indicate a strong correlation between model predicted and subjective data, and therefore proved the devel-oped model an effective index for subjective low-frequency perception.
结果表明， 低沉度模型的预测结果与主观评价结果具有很高的相关性， 从而证明了所提出模型的有效性。
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